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Coding_Interview_Master_Digi20_ClaudeDaniel_Wiesner.mx22











02.08.2022
Code System
1 How to reduce manual interventions0     1.1 DPD; Driver's freedom reduces intervention1     1.2 Planzer; Conviction of the planner1     1.3 notime; Not a main problem, started business with algorithms1     1.4 Swiss Post; Planners are already limited1     1.5 Swiss Post, notime; Perspective of manual intervention22 Manual intervention in future0     2.1 Swiss Post, Planzer; Data/software improvements3     2.2 notime; Yes1     2.3 DPD; Yes, but only as exception1     2.4 Planzer; Yes, but with placebo effect1     2.5 Swiss Post; Yes, but only reduced1     2.6 Ortec; Focus software and happy drivers, less intervention13 Efficiency improvments0     3.1 notime; Cooperation1     3.2 DPD; know-how of the drivers1     3.3 Ortec: Better ETA is feasible1     3.4 Planzer: Use the data for better services1     3.5 Swiss Post; Area knowlegde is big contribution to efficiency14 Future role of the planner0     4.1 notime; Planing globally1     4.2 DPD; Change is real, care about drivers1     4.3 DPD; Challenge, planner is part of the team with drivers1     4.4 Planzer; Planner is the team leader1     4.5 Swiss Post, Ortec; new vehicles, new challenges2     4.6 Ortec, Planzer; Area knowledge will be less important21 How to reduce manual interventions

1.1 How to reduce manual interventions >> DPD; Driver's freedom reduces intervention
Therefore, the drivers have freedom in   the tour depart (Merge_Interviews_Parcel_delivery_companies, p. 1)
1.2 How to reduce manual interventions >> Planzer; Conviction of the planner
, the conviction must be conveyed (Merge_Interviews_Parcel_delivery_companies, p. 1)
1.3 How to reduce manual interventions >> notime; Not a main problem, started business with algorithms
. But we started from the   beginning. The system calculates from manual   starts and then it calculates the tours. (Merge_Interviews_Parcel_delivery_companies, p. 1)
1.4 How to reduce manual interventions >> Swiss Post; Planners are already limited
Even now, planners can only intervene to a   limited extent if, for example, a car is too full and   certain packages should be placed on another   road. (Merge_Interviews_Parcel_delivery_companies, p. 1)
1.5 How to reduce manual interventions >> Swiss Post, notime; Perspective of manual intervention
For us, manual intervention is part of the job, and   if the planner saves 5 or 6 minutes per travel time   in his area (Merge_Interviews_Parcel_delivery_companies, p. 1)

. The algorithms are not built for   this (Merge_Interviews_Parcel_delivery_companies, p. 1)
2 Manual intervention in future

2.1 Manual intervention in future >> Swiss Post, Planzer; Data/software improvements
, Planzer improves   the last mile with recordings stops and foot ways   as well with a learning system to implement the   driver�s behavior. (Merge_Interviews_Parcel_delivery_companies, p. 1)

In addition, we are   working on recording vehicle stops to improve   planning and reduce interventions (Merge_Interviews_Parcel_delivery_companies, p. 1)

For that Ortec wants to involve the behavior of the drivers understand their intention and replace inaccurate average values   with the behavior of the drivers. As example: If the routing software on crossing always suggest turning right but the   driver turns left and is faster than is it better to implement that know-how into the software. (Merge_Interviews_Parcel_delivery_companies, p. 2)
2.2 Manual intervention in future >> notime; Yes
Yes, simply because service providers must do   more and more, and ETA is becoming more and   more important (Merge_Interviews_Parcel_delivery_companies, p. 1)
2.3 Manual intervention in future >> DPD; Yes, but only as exception
Yes, to allow the manual accesses, but only   limited and the possibilities are given (Merge_Interviews_Parcel_delivery_companies, p. 1)
2.4 Manual intervention in future >> Planzer; Yes, but with placebo effect
There will probably still be manual steps, but   these will only have a placebo effec (Merge_Interviews_Parcel_delivery_companies, p. 1)
2.5 Manual intervention in future >> Swiss Post; Yes, but only reduced
Depending on the calculation time, the planner   has a time window of 1 to 3 hours to check the   planning and make interventions. The time   window is already limited.  (Merge_Interviews_Parcel_delivery_companies, p. 1)
2.6 Manual intervention in future >> Ortec; Focus software and happy drivers, less intervention
The planner should become more of a team leader   and the existing knowledge of the territories,   delivery locations or delivery process will be used   to make quick decisions on delivery issues or to   improve customer service.  (Merge_Interviews_Parcel_delivery_companies, p. 1)
3 Efficiency improvments

3.1 Efficiency improvments >> notime; Cooperation
Cooperation opportunities with partners becomes   inevitable because the costs become too high for   everyone.  (Merge_Interviews_Parcel_delivery_companies, p. 1)
3.2 Efficiency improvments >> DPD; know-how of the drivers
Leaving drivers in the same core area and still   reallocating areas daily based on volume without   overloading a vehicle (Merge_Interviews_Parcel_delivery_companies, p. 1)
3.3 Efficiency improvments >> Ortec: Better ETA is feasible
It depends on the business model and what the relation between planer and driver is. As example:   Dutch Post: The delivery is done by sub-contractors. They must have their freedom by law and the goal of the planning is   a doable tour in the know area and the driver is motivated to be on time.  DPD: The same business model as Dutch Post and they calculate with an accuracy of 30 minutes.  DHL: They calculate with time-windows of -20 minutes and +40 minutes, maximum 60 minutes difference (Merge_Interviews_Parcel_delivery_companies, p. 2)
3.4 Efficiency improvments >> Planzer: Use the data for better services
Generally, use existing data to provide better   customer services. For example, using delivery   data to work out customer bundling. (Merge_Interviews_Parcel_delivery_companies, p. 1)
3.5 Efficiency improvments >> Swiss Post; Area knowlegde is big contribution to efficiency
Area knowledge is hugely important to us and   driving the same areas with the same driver every   time is very important to us and contributes a lot   to efficiency (Merge_Interviews_Parcel_delivery_companies, p. 1)
4 Future role of the planner

4.1 Future role of the planner >> notime; Planing globally
Planning is no longer   limited to the tour, but to the whole process of   personnel, vehicle, and volume planning. (Merge_Interviews_Parcel_delivery_companies, p. 1)
4.2 Future role of the planner >> DPD; Change is real, care about drivers
dedicated team that takes care of the drivers'   concerns (Merge_Interviews_Parcel_delivery_companies, p. 1)
4.3 Future role of the planner >> DPD; Challenge, planner is part of the team with drivers
The challenge for the planning team is   to continue to be up to date with IT technology   and at the same time to develop empathy for the   driver team with remaining objective. (Merge_Interviews_Parcel_delivery_companies, p. 1)
4.4 Future role of the planner >> Planzer; Planner is the team leader
The planner should become more of a team leader   and the existing knowledge of the territories,   delivery locations or delivery process will be used   to make quick decisions on delivery issues or to   improve customer service.  (Merge_Interviews_Parcel_delivery_companies, p. 1)
4.5 Future role of the planner >> Swiss Post, Ortec; new vehicles, new challenges
The electrification of inner cities vehicles with their lower load weight and smaller maximum range will challenge the   logistics companies especially at the transfer point at the city boarder. Unplanned pick-ups is another challenge because it   follows the customer demand to be as flexible as possible but for the companies it is difficult finding an efficient way to   do it.  (Merge_Interviews_Parcel_delivery_companies, p. 2)

As part of green logistics, we will deliver to the   city centers of Bern and Zurich using electric   vehicles. This will be a big change for us. (Merge_Interviews_Parcel_delivery_companies, p. 1)
4.6 Future role of the planner >> Ortec, Planzer; Area knowledge will be less important
Maybe they can implement a learning system to increase the reliability of the results. If the driver wants to change   something, she or he must interact with the operator, and they learn from that behavior. This is not only software-related it   is as well working as a team. In any case we from Ortec believe with the behavior implementation into routing software   the specific area know-how will be less important. (Merge_Interviews_Parcel_delivery_companies, p. 2)

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